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Norman Payne
Tara Showband
Tommy TrainorJohn WoodsJohnny NeilMichael DukeDeke arlon

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Hello Norman Payne – do you remember vicky and jimmy Kerrigan fromToronto when you werein the Tara showband
0 (Login)
Tara Showband

Related Images

431774104_1732163610527621_1436104499307419763_n.jpg

Connected Bands/Artists

  • Tara Showband
    Tara Showband band photo

Connected Musicians

  • Deke arlon
  • John Woods
  • Johnny Neil
  • Michael Duke
  • Norman Payne
    Norman Payne band photo
  • Tommy Trainor

Analyzing Network Connections...

Network Profile

Overall Strength
i
1.61% of network
(784)
Strength Breakdown
  • This Post (1.61%)
  • John Woods (6.45%)
  • Norman Payne (6.45%)
  • Tommy Trainor (1.61%)
  • Johnny Neil (1.61%)
  • Michael Duke (1.61%)
  • Deke arlon (1.61%)
Dominant nodes (excluded from chart)
Tara Showband 79.03%
Influence Score
i
12.50% of network
(1)
Influence Breakdown
  • This Post (12.50%)
  • Tara Showband (12.50%)
  • John Woods (12.50%)
  • Tommy Trainor (12.50%)
  • Norman Payne (12.50%)
  • Johnny Neil (12.50%)
  • Michael Duke (12.50%)
  • Deke arlon (12.50%)
Direct Connections 2

Node & Network Details

How is this calculated?

The math continuously tracks how strongly this post is connected to the rest of the network. Every tag forms a 2-way link. The base stats determine personal node strength, and the pie charts below show this node's share against its direct neighbours.

// 1. Base variables (floored at 1 to prevent zero-multiplication math errors)
$inbound = max(1, 1) = 1
$outbound = max(1, 1) = 1

// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 1 * 1 = 1
Base_Influence (IV) = $inbound / $outbound = 1 / 1 = 1

// 3. Exponential Network Values (accumulating 7 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 1 *
                           ( 49 [Tara Showband] *
                            4 [John Woods] *
                            1 [Tommy Trainor] *
                            4 [Norman Payne] *
                            1 [Johnny Neil] *
                            1 [Michael Duke] *
                            1 [Deke arlon]
                           )

                         = 784

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1 [Tara Showband] *
                            1 [John Woods] *
                            1 [Tommy Trainor] *
                            1 [Norman Payne] *
                            1 [Johnny Neil] *
                            1 [Michael Duke] *
                            1 [Deke arlon]
                           )

                         = 1
Outbound 1 Tags on post
Inbound 1 Posts tagging this
Connections 7 Total nodes
Base Node Strength 1
Base Node Influence 1
Strength Share (vs Direct Neighbours)
1.61% (784 overall)
  • This Post (1.61%)
  • John Woods (6.45%)
  • Norman Payne (6.45%)
  • Tommy Trainor (1.61%)
  • Johnny Neil (1.61%)
  • Michael Duke (1.61%)
  • Deke arlon (1.61%)
Dominant nodes (excluded from chart)
Tara Showband 79.03%
Influence Share (vs Direct Neighbours)
12.50% (1 overall)
  • This Post (12.50%)
  • Tara Showband (12.50%)
  • John Woods (12.50%)
  • Tommy Trainor (12.50%)
  • Norman Payne (12.50%)
  • Johnny Neil (12.50%)
  • Michael Duke (12.50%)
  • Deke arlon (12.50%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Tara Showband ↗
Str: 49Inf: 1
John Woods ↗
Str: 4Inf: 1
Tommy Trainor ↗
Str: 1Inf: 1
Norman Payne ↗
Str: 4Inf: 1
Johnny Neil ↗
Str: 1Inf: 1
Michael Duke ↗
Str: 1Inf: 1
Deke arlon ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Deke arlon ↗
Str: 1Inf: 1
Michael Duke ↗
Str: 1Inf: 1
Johnny Neil ↗
Str: 1Inf: 1
Norman Payne ↗
Str: 4Inf: 1
Tommy Trainor ↗
Str: 1Inf: 1
John Woods ↗
Str: 4Inf: 1
Tara Showband ↗
Str: 49Inf: 1

Connection Health Audit (Red = broken 1-way link)

Outbound Tags (1)
Tara Showband
Inbound Posts (1)
Tara Showband
Last calculated: Jun 17, 5:04 AM
34

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